Insurance Industry

Films on Demand (4:56) Cytora uses algorithms to help improve underwriting. CEO Richard Hartley discusses improving profitability, opening areas of growth, data sources, lowering net cost, and claims processing.

(Maryville University) Predictive analytics is reshaping the insurance industry, which has relied on data from its inception centuries ago. This reliance on data analysis makes insurance uniquely suited to the use of predictive analytics.

(University of Iowa) Managing your risk constitutes a major element of your financial plan. In this section, we discuss two broad areas: managing insurable risks (such as your life and home) and managing investment risk (the variability of returns on your investments).

(ForMotiv) Integrating predictive analytics insurance software has quickly become the leading initiative on most of the top insurance carriers’ roadmaps. What used to be a traditional, rule-based framework is now transforming into a data-driven, automated, highly intelligent and predictive system.

(Embroker) Not every risk is insurable. And while insurance is designed to help protect against the many risks of loss associated with running a business, it has never been intended to cover everything.

(Artificial.) Just as many customers now expect to be able to purchase personal insurance policies via smartphone apps, and even make claims this way, modern insurers must keep up with the digital revolution in order to stay in the race. Nowhere is this lesson more valuable than on the subject of predictive analytics.